Vision-Based Label Extraction and Matching

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Label extraction and matching is the basis of many form-based web applications. A vision-based element-label matching approach was proposed in this paper. First, the factors which affect label matching were deeply analyzed, and then a method of reconstructing query interface by analyzing its HTML code was proposed. Finally the element-label matching was realized through consideration of tag, text semanteme and position feature. Experiments on 278 query interfaces in 8 typical domains demonstrate the feasibility and effectiveness of our proposed approach

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Periodical:

Edited by:

Helen Zhang and David Jin

Pages:

155-160

DOI:

10.4028/www.scientific.net/AMR.459.155

Citation:

C. M. Wu et al., "Vision-Based Label Extraction and Matching", Advanced Materials Research, Vol. 459, pp. 155-160, 2012

Online since:

January 2012

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$35.00

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